Rockset

FEBRUARY 6, 2019

Traditional Data Processing: Batch and Streaming MapReduce, most commonly associated with Apache Hadoop, is a pure batch system that often introduces significant time lag in massaging new data into processed results. This architecture has become popular in the last decade because it addresses the stale-output problem of MapReduce systems.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Data Engineering Podcast

MAY 11, 2020

How have projects such as Kafka and Pulsar impacted the broader software and data landscape? How have projects such as Kafka and Pulsar impacted the broader software and data landscape? What motivates you to dedicate so much of your time and enery to Pulsar in particular, and the streaming data ecosystem in general?

Cloud 100

Cloud Lambda Architecture Kafka Hadoop 100

Knowledge Hut

MAY 2, 2024

Features of Spark Speed : According to Apache, Spark can run applications on Hadoop cluster up to 100 times faster in memory and up to 10 times faster on disk. Spark streaming also has in-built connectors for Apache Kafka which comes very handy while developing Streaming applications. Spark streaming also supports Structure Streaming.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

ProjectPro

AUGUST 24, 2021

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day. This is called Hot Path.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52